This report by EPIC investigates how automated decision-making (ADM) systems are used across Washington, D.C.’s public services and the resulting impacts on equity, privacy, and access to benefits.
This report highlights lessons learned from improving economic stability and well-being outcomes for young parent families, focusing on interagency collaboration, community engagement, data-driven improvement, and aligned services to guide future efforts.
This article explores how legal documents can be treated like software programs, using methods like software testing and mutation analysis to enhance AI-driven statutory analysis, aiding legal decision-making and error detection.
This blog introduces the GSA’s Public Benefits Studio, which partnered with agencies to build shared tools—starting with a multi-channel notifications service—to improve coordination and access across federal public benefits programs.
On December 5, 2022, an expert panel, including representatives from the White House, unpacked what’s included in the AI Bill of Rights, and explored how to operationalize such guidance among consumers, developers, and other users designing and implementing automated decisions.
Code for America CEO introduces the Safety Net Innovation Lab in a TED Talk, their initiative to work with state governments to reimagine and rebuild delivery of accessible and equitable benefits. This article also includes the video of Renteria’s talk and a transcript.
During this event, researchers addressed questions with findings from data collected from state UI agencies across the country and focus groups with women who have experienced unemployment.
